Ontario family justice in “lockdown”: Early pandemic cases and professional experience
Bibliographic record
Abstract
The COVID-19 pandemic has profoundly affected families and children involved in Ontario's family justice system as well as family justice professionals in the province. In a span of two years, Ontario's family justice system has been fundamentally transformed, from a paper-based, in-person system to a paperless system in which many services, including judicial proceedings, continue to be largely delivered remotely. We report on the findings of two studies on the impact of the COVID-19 pandemic on Ontario family justice: (1) an analysis of early pandemic court decisions; and (2) a survey of family justice professionals about their experiences during the early pandemic. We describe how the pandemic has exacerbated access to justice issues for certain groups, including families experiencing high conflict, victims of intimate partner violence, families involved in child welfare proceedings, and self-represented litigants, while improving access to justice for others by improving efficiency and reducing legal costs. As Ontario moves past the pandemic, the family justice system will need to ensure that technological advances improve access to justice for all court-involved families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".